Processing In Memory

Nayan Deshmukh

MEmory Wall

Since 1980, CPU has outpaced DRAM

The bandwidth Wall

The increase in pin count is not proportional to the increase in transistor density

what is the Solution?

  • Cache Compression
  • DRAM Cache
  • Link Compression
  • Sector Cache

reduce the memory traffic

But these are roundabout ways to avoid the actual problem

let's look more closely at the dram

Hybrid Memory Cube

<DETOUr>

HMC Structure

HMC structure

</DETOUr>

how to integrate PiM?

What modifications are needed in our existing architecture?

tesseract

A Scalable Processing-in-Memory Accelerator for Parallel Graph Processing

page rank

for (v: graph.vertices) {
    value = 0.85 * v.pagerank / v.out_degree;
    for (w: v.successors) {
        w.next_pagerank += value;
     }
}
list_for (v: graph.vertices) {
    value = 0.85 * v.pagerank / v.out_degree;
     for (w: v.successors) {
         put(w.id, function() { w.next_pagerank += value; });
     }
}

Tesseract exploits:-

  • Memory level parallelism
  • DRAM internal bandwidth
  • Offloading

Normal Code

PIM Code

Performance

  • DDR3-OoO: 32 4 GHz four-wide out of-order cores connected to a DDR3 memory system

  • HMC-OoO: 32 4 GHz four-wide out of-order cores

  • HMC-MC: 512 single-issue, in-order cores externally connected to 16 memory cubes

  • Tesseract: 512 single-issue, in-order cores with prefetchers on logic layer of memory cubes

    • ​​32 cores per cube

What's the catch?

  • Needs a lot of changes in software stack
  • Fails to utilize the large on-chip caches
  • Higher AMAT when results are accessed by host processor

Can we do better?

PIM-Enabled Instructions

(PEI)

Potential of ISA Extension as PIM Interface

The key to coordination between PIM and host processor is single-cache-block restriction

  • Each PEI can access at most one last-level cache block
  • Localization: each PEI is bounded to one memory module
  • Interoperability: easier support for cache coherence and virtual memory

BENEFITS:-

architecture

Memory-side PEI Execution

Host-side PEI Execution

conclusion

The speed gap between CPU, memory and mass storage continues to widen. We need to rethink our memory systems. Processing in Memory is one of the possible hope to fight the memory wall

Acknowledgements

  • https://people.inf.ethz.ch/omutlu/pub/pim-enabled-instructons-for-low-overhead-pim_isca15-talk.pdf
  • https://people.inf.ethz.ch/omutlu/pub/tesseract-pim-architecture-for-graph-processing_isca15-talk.pdf
  • http://www.eecs.umich.edu/courses/eecs573/lectures/nmc_slides-main.pdf
  • http://extremecomputingtraining.anl.gov/files/2015/03/kogge-jul29-1115.pdf
  • http://www.hotchips.org/wp-content/uploads/hc_archives/hc23/HC23.18.3-memory-FPGA/HC23.18.320-HybridCube-Pawlowski-Micron.pdf
  • http://www2.sbc.org.br/sbac/2015/files/Keynote_OnurMutlu.pdf

Processing in Memory

By Nayan Deshmukh

Source: Mylene King

Processing in Memory

COE218 Advanced Computer Systems Architecture

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